Evidence map›Paper›PMID 35144691›Full record

ArticleDiagnostic and prognostic research2022

Diagnosing ventilator-associated pneumonia (VAP) in UK NHS ICUs: the perceived value and role of a novel optical technology.

W S Jones, J Suklan, A Winter, K Green, T Craven, A Bruce, J Mair, K Dhaliwal, T Walsh, A J Simpson and 2 more

Abstract read
In one paragraph

Article in Diagnostic and prognostic research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

W S JonesNIHR Newcastle In Vitro Diagnostics Co-operative, Newcastle upon Tyne Hospitals Foundation Trust, Newcastle upon Tyne, NE1 4LP, UK. will.jones@ncl.ac.uk.ORCID http://orcid.org/0000-0001-9352-3916
J SuklanNIHR Newcastle In Vitro Diagnostics Co-operative, Translational & Clinical Research Institute, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK.
A WinterNIHR Newcastle In Vitro Diagnostics Co-operative, Newcastle upon Tyne Hospitals Foundation Trust, Newcastle upon Tyne, NE1 4LP, UK.
K GreenNIHR Newcastle In Vitro Diagnostics Co-operative, Translational & Clinical Research Institute, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK.
T CravenTranslational Healthcare Technologies Group, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, EH16 4TJ, UK.
A BruceTranslational Healthcare Technologies Group, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, EH16 4TJ, UK.
J MairTranslational Healthcare Technologies Group, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, EH16 4TJ, UK.
K DhaliwalTranslational Healthcare Technologies Group, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, EH16 4TJ, UK.
T WalshEdinburgh Critical Care Research Group, University of Edinburgh, Edinburgh, UK.
A J SimpsonNIHR Newcastle In Vitro Diagnostics Co-operative, Newcastle upon Tyne Hospitals Foundation Trust, Newcastle upon Tyne, NE1 4LP, UK.
S Graziadio *NIHR Newcastle In Vitro Diagnostics Co-operative, Newcastle upon Tyne Hospitals Foundation Trust, Newcastle upon Tyne, NE1 4LP, UK.
A J Allen *NIHR Newcastle In Vitro Diagnostics Co-operative, Translational & Clinical Research Institute, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK.

Funding

CARBX 4500002330
6 · The paper itself

Abstract

backgroundDiagnosing ventilator-associated pneumonia (VAP) in an intensive care unit (ICU) is a complex process. Our aim was to collect, evaluate and represent the information relating to current clinical practice for the diagnosis of VAP in UK NHS ICUs, and to explore the potential value and role of a novel diagnostic for VAP, which uses optical molecular alveoscopy to visualise the alveolar space.

methodsQualitative study performing semi-structured interviews with clinical experts. Interviews were recorded, transcribed, and thematically analysed. A flow diagram of the VAP patient pathway was elicited and validated with the expert interviewees. Fourteen clinicians were interviewed from a range of UK NHS hospitals: 12 ICU consultants, 1 professor of respiratory medicine and 1 professor of critical care.

resultsFive themes were identified, relating to [1] current practice for the diagnosis of VAP, [2] current clinical need in VAP diagnostics, [3] the potential value and role of the technology, [4] the barriers to adoption and [5] the evidence requirements for the technology, to help facilitate a successful adoption. These themes indicated that diagnosis of VAP is extremely difficult, as is the decision to stop antibiotic treatment. The analysis revealed that there is a clinical need for a diagnostic that provides an accurate and timely diagnosis of the causative pathogen, without the long delays associated with return of culture results, and which is not dangerous to the patient. It was determined that the technology would satisfy important aspects of this clinical need for diagnosing VAP (and pneumonia, more generally), but would require further evidence on safety and efficacy in the patient population to facilitate adoption.

conclusionsCare pathway analysis performed in this study was deemed accurate and representative of current practice for diagnosing VAP in a UK ICU as determined by relevant clinical experts, and explored the value and role of a novel diagnostic, which uses optical technology, and could streamline the diagnostic pathway for VAP and other pneumonias.

Indexed as

Care pathway analysisInterviewsThematic analysisVAPVentilator-associated pneumonia

Identifiers

PMID35144691
PMCPMC8830125

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.